Home Journals Articles Updates About
CN
image
收藏切换
Intelligent Empowerment of Green Steel Manufacturing: Steelmaking Process
收藏切换
Nanfu ZONG1, Chenglin ZHAO2, Jixiang JIA3, Hongjin YUE2, Jian GAO2, Lifeng ZHANG2, Xiaolei ZHU2, Tao JING4
Angang Technology | 2026, (1) : 19 - 31
Less
收藏切换
Angang Technology | 2026, (1): 19-31
• Green and Low-carbon Column (Ⅰ) •
Intelligent Empowerment of Green Steel Manufacturing: Steelmaking Process
Full
Nanfu ZONG1, Chenglin ZHAO2, Jixiang JIA3, Hongjin YUE2, Jian GAO2, Lifeng ZHANG2, Xiaolei ZHU2, Tao JING4
Affiliations
  • 1.Bensteel Technology Center of Ansteel Group Co., Ltd., Benxi 117000, Liaoning, China
  • 2.Lingsteel Technology Center of Ansteel Group Co., Ltd., Chaoyang 122500, Liaoning, China
  • 3.Ansteel Iron & Steel Research Institutes, Anshan 114009, Liaoning, China
  • 4.Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, School of Materials, Tsinghua University, Beijing 100084, China
doi: 10.3969/j.issn.1006-4613.2026.01.003
Outline
收藏切换

With the rapid development of machine learning, deep learning, and large model technologies, the intelligent empowerment of green steel manufacturing has become a research hot spot. The deep integration of digital and intelligent technologies with steelmaking process industrial scenarios was systematically explored, the current applications in key processes such as converters, electric arc furnaces, refining, and continuous casting were analyzed, the cutting-edge technologies such as multimodal perception and early warning, resource collaborative optimization, digital twins, and full-process causal reasoning were proposed to achieve green and low-carbon production as well as intelligent, efficient collaboration in steelmaking process. Finally, the challenges faced by the integrated and in-depth application of artificial intelligence in steelmaking-continuous casting section, potential strategies for large models to empower green manufacturing, and future prospects were discussed, which provided transformation ideas and theoretical support for intelligent empowerment of green steel manufacturing.

green manufacturing  /  steelmaking process  /  large model  /  autonomous decision  /  digital twins
宗男夫, 赵成林, 贾吉祥, 岳洪进, 高鉴, 张立锋, 朱晓雷, 荆涛. 智能化赋能钢铁绿色制造：炼钢流程. 鞍钢技术, 2026 , (1) : 19 -31 . DOI: 10.3969/j.issn.1006-4613.2026.01.003
Nanfu ZONG, Chenglin ZHAO, Jixiang JIA, Hongjin YUE, Jian GAO, Lifeng ZHANG, Xiaolei ZHU, Tao JING. Intelligent Empowerment of Green Steel Manufacturing: Steelmaking Process[J]. Angang Technology, 2026 , (1) : 19 -31 . DOI: 10.3969/j.issn.1006-4613.2026.01.003
Appendix
Less
Year 2026 volume Issue 1
147
41
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1006-4613.2026.01.003
  • Online Date：2026-09-20
Article Data
Affiliations
History
  • Revised：2025-06-24
Funding
Affiliations
    1.Bensteel Technology Center of Ansteel Group Co., Ltd., Benxi 117000, Liaoning, China
    2.Lingsteel Technology Center of Ansteel Group Co., Ltd., Chaoyang 122500, Liaoning, China
    3.Ansteel Iron & Steel Research Institutes, Anshan 114009, Liaoning, China
    4.Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, School of Materials, Tsinghua University, Beijing 100084, China
References
Share
https://castjournals.cast.org.cn/joweb/agjs/EN/10.3969/j.issn.1006-4613.2026.01.003
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House